Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/99063
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dc.contributorDepartment of Management and Marketingen_US
dc.creatorQi, Cen_US
dc.creatorLei, Yen_US
dc.date.accessioned2023-06-12T09:04:02Z-
dc.date.available2023-06-12T09:04:02Z-
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/99063-
dc.descriptionThird International Conference on Computer Science and Communication Technology (ICCSCT 2022), 30-31 July 2022, Beijing, Chinaen_US
dc.language.isoenen_US
dc.publisherSPIE-International Society for Optical Engineeringen_US
dc.rightsCopyright 2022 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.en_US
dc.rightsThe following publication Cong Qi and Yue Lei "Artificial intelligence applications in medical sciences: illustrations in pharmaceutical and medical imaging areas", Proc. SPIE 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022), 125063E (28 December 2022) is available at https://doi.org/10.1117/12.2661813.en_US
dc.subjectAIen_US
dc.subjectMedical imagingen_US
dc.subjectMedical sciencesen_US
dc.subjectPharmaceuticalen_US
dc.titleArtificial intelligence applications in medical sciences : illustrations in pharmaceutical and medical imaging areasen_US
dc.typeConference Paperen_US
dc.identifier.volume12506en_US
dc.identifier.doi10.1117/12.2661813en_US
dcterms.abstractArtificial intelligence (AI) technologies have been used to develop and advance healthcare industry. Typical application scenarios in medical sciences include diagnosing patients, end-to-end drug discovery and development, improving communication between physician and patient, transcribing medical records, and remotely treating patients. This paper aims at introducing AI applications in the field of medical sciences, especially the areas of pharmaceutical and medical imaging. It first introduces the current AI technologies used in medical science in general, and then showcases these applications in pharmaceutical and medical imaging areas. Insilico Medicine (Hong Kong) and Pfizer (US) are the illustration cases from pharmaceutical industry; and Deepwise (China) and GE healthcare (US) are selected cases from medical imaging industry. The comparison within each industry and between two countries (China and US) are summarized at the end.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings of SPIE : the International Society for Optical Engineering, 2022, v. 12506, 125063Een_US
dcterms.isPartOfProceedings of SPIE : the International Society for Optical Engineeringen_US
dcterms.issued2022-
dc.identifier.scopus2-s2.0-85146666636-
dc.relation.conferenceInternational Conference on Computer Science and Communication Technology [ICCSCT]en_US
dc.identifier.eissn1996-756Xen_US
dc.identifier.artn125063Een_US
dc.description.validate202306 bcwwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera2113-
dc.identifier.SubFormID46640-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
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